Robust minimum-cost flow problems under multiple ripple effect disruptions
| Year of publication: |
2023
|
|---|---|
| Authors: | Ansari, Mehdi ; Borrero, Juan S. ; Lozano, Leonardo |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 35.2023, 1, p. 83-103
|
| Subject: | robust optimization | cut-generation | defender-attacker problems | maximal covering location problem | minimum-cost flow problem | ripple effect disruptions | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Robustes Verfahren | Robust statistics | Ganzzahlige Optimierung | Integer programming |
-
Robust models for the kidney exchange problem
Carvalho, Margarida, (2021)
-
The impact of modeling on robust inventory management under demand uncertainty
Solyalı, Oğuz, (2016)
-
Submodularity in conic quadratic mixed 0-1 optimization
Atamtürk, Alper, (2020)
- More ...
-
Constraint learning to define trust regions in optimization over pre-trained predictive models
Shi, Chenbo, (2024)
-
Two-stage robust optimization approach for enhanced community resilience under tornado hazards
Ansari, Mehdi, (2025)
-
Modeling defender-attacker problems as robust linear programs with mixed-integer uncertainty sets
Borrero, Juan S., (2021)
- More ...